Methods and Techniques for Privacy Preserving in Blockchain

The rapid developments in blockchain technology in various field mostly concerns about decentralization, transparency and security. The publishing nodes and subscribers nodes in the networks ensures the transaction is recorded in the ledger by giving some transaction fees to the miners. The security is achieved by the various consensus algorithms used in the network. The blockchain technique is widely used in various applications like healthcare, education, supply chain, auction system, E-voting, etc. All these application contains valuable information that can be inferred by attackers through various learning analytic methods while sharing in the public ledgers. So privacy is at risk for all these types of data that are outsourced. The paper presents a study on the various types of techniques that are carried out in the field of privacy preserving for blockchain technology.